Estimation of Canopy-Average Surface-Specific Leaf Area Using Landsat TM Data
Photogrammetric Engineering & Remote SensingPublished 1 January 2000
Leo Lymburner, Paul J. Beggs, Carol Jacobson
Citations179
SJR quartileQ2
SJR score0.44
SNIP0.47
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Abstract
Specific leaf area (SLA) is an important ecological variable because of its links with plant ecophysiology and leaf biochemistry. Variations in SLA are associated with variations in leaf optical properties, and these changes in leaf optical properties have been found to result in changes in canopy reflectance. This paper utilizes these changes to explore the potential of estimating SLA using Landsat TM data. Fourteen sites with varying vegetation were sampled on the Lambert Peninsula in Ku-ring-gai Chase National Park to the north of Sydney, Australia. A sampling strategy that facilitated the calculation of canopy-avemge surface SLA (sLA~~) was developed. The relationship between Sacs, reflectance in Landsat TM bands, and a number of vegetation indices, were explored using univariate regression. The observed relationships between Sum and canopy reflectance are also discussed in terms of trends observed in a pre-existing leaf optical properties dataset (LOPEX 93). Field data indicate that there is a strong correlation between SLA~ and red, near-infrared, and the second midinfmred bands of Landsat TM data. A strong correlation between sum and the following vegetation indices: Soil and Atmosphere Resistant Vegetation Index (SARVIZ), Normalized Difference Vegetation Index (NLWI), and Ratio Vegetation Index (RVI), suggests that these vegetation indices could be used to estimate SLA~~ using Landsat TM data.
Keywords
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